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Validation of REM score to predict endometrial cancer in patients with ultrasound endometrial abnormalities: results of a new independent dataset.

Abstract The risk of endometrial malignancy (REM) score is a model formulated in a previous single-center validation study, which has been shown to predict endometrial cancer in women with ultrasound endometrial abnormalities based on multiple features (clinical, ultrasound and laboratorial). The purpose of this study was to validate the performance of REM score in an external validation setting. A population-based database with patients, who underwent elective hysteroscopy for ultrasound endometrial abnormalities between 2013 and 2016 at Department of Obstetrics and Gynecology of Campus Bio-medico of Rome, was used. Starting from January 2013 to June 2016, 330 patients were enrolled for hysteroscopy. Thirty-two patients were excluded due to Asherman syndrome or cervical stenosis. Therefore, a total of 298 patients were considered for the analysis. Based on pathologic examination, 102 patients were found to have endometrial cancer, and 196 had benign endometrial disease. Using the predefined cutoff of 0.3185, identified in the previous publication, in this independent cohort of patients we correctly classified 93/102 patients with endometrial cancer and 187/196 with benign disease, reporting an overall sensitivity and specificity of 93.9 and 95.4% (PPV = 0.91, NPV = 0.95), respectively. REM score showed a high positive predictive value for endometrial cancer prediction. However, before REM score can be applied in daily clinical practice, data from randomized controlled trials are needed.
PMID
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Authors

Mayor MeshTerms
Keywords

Endometrial cancer

Predictive tool

REM score

Screening

Journal Title medical oncology (northwood, london, england)
Publication Year Start




PMID- 28389908
OWN - NLM
STAT- MEDLINE
DA  - 20170408
DCOM- 20170419
LR  - 20170419
IS  - 1559-131X (Electronic)
IS  - 1357-0560 (Linking)
VI  - 34
IP  - 5
DP  - 2017 May
TI  - Validation of REM score to predict endometrial cancer in patients with ultrasound
      endometrial abnormalities: results of a new independent dataset.
PG  - 82
LID - 10.1007/s12032-017-0945-y [doi]
AB  - The risk of endometrial malignancy (REM) score is a model formulated in a
      previous single-center validation study, which has been shown to predict
      endometrial cancer in women with ultrasound endometrial abnormalities based on
      multiple features (clinical, ultrasound and laboratorial). The purpose of this
      study was to validate the performance of REM score in an external validation
      setting. A population-based database with patients, who underwent elective
      hysteroscopy for ultrasound endometrial abnormalities between 2013 and 2016 at
      Department of Obstetrics and Gynecology of Campus Bio-medico of Rome, was used.
      Starting from January 2013 to June 2016, 330 patients were enrolled for
      hysteroscopy. Thirty-two patients were excluded due to Asherman syndrome or
      cervical stenosis. Therefore, a total of 298 patients were considered for the
      analysis. Based on pathologic examination, 102 patients were found to have
      endometrial cancer, and 196 had benign endometrial disease. Using the predefined 
      cutoff of 0.3185, identified in the previous publication, in this independent
      cohort of patients we correctly classified 93/102 patients with endometrial
      cancer and 187/196 with benign disease, reporting an overall sensitivity and
      specificity of 93.9 and 95.4% (PPV = 0.91, NPV = 0.95), respectively. REM score
      showed a high positive predictive value for endometrial cancer prediction.
      However, before REM score can be applied in daily clinical practice, data from
      randomized controlled trials are needed.
FAU - Plotti, Francesco
AU  - Plotti F
AD  - Department of Obstetrics and Gynecology, University of Rome "Campus Bio-Medico", 
      Via Alvaro del Portillo, 200, 00128, Rome, Italy.
FAU - Capriglione, Stella
AU  - Capriglione S
AD  - Department of Obstetrics and Gynecology, University of Rome "Campus Bio-Medico", 
      Via Alvaro del Portillo, 200, 00128, Rome, Italy. [email protected]
FAU - Terranova, Corrado
AU  - Terranova C
AD  - Department of Obstetrics and Gynecology, University of Rome "Campus Bio-Medico", 
      Via Alvaro del Portillo, 200, 00128, Rome, Italy.
FAU - Montera, Roberto
AU  - Montera R
AD  - Department of Obstetrics and Gynecology, University of Rome "Campus Bio-Medico", 
      Via Alvaro del Portillo, 200, 00128, Rome, Italy.
AD  - Unit of Obstetrics and Gynecology, Magna Graecia University of Catanzaro,
      Catanzaro, Italy.
FAU - Scaletta, Giuseppe
AU  - Scaletta G
AD  - Department of Obstetrics and Gynecology, University of Rome "Campus Bio-Medico", 
      Via Alvaro del Portillo, 200, 00128, Rome, Italy.
FAU - Lopez, Salvatore
AU  - Lopez S
AD  - Department of Obstetrics and Gynecology, University of Rome "Campus Bio-Medico", 
      Via Alvaro del Portillo, 200, 00128, Rome, Italy.
FAU - Luvero, Daniela
AU  - Luvero D
AD  - Department of Obstetrics and Gynecology, University of Rome "Campus Bio-Medico", 
      Via Alvaro del Portillo, 200, 00128, Rome, Italy.
FAU - Gianina, Antonelli
AU  - Gianina A
AD  - Department of Obstetrics and Gynecology, University of Rome "Campus Bio-Medico", 
      Via Alvaro del Portillo, 200, 00128, Rome, Italy.
FAU - Aloisi, Alessia
AU  - Aloisi A
AD  - Department of Obstetrics and Gynecology, University of Rome "Campus Bio-Medico", 
      Via Alvaro del Portillo, 200, 00128, Rome, Italy.
FAU - Benedetti Panici, Pierluigi
AU  - Benedetti Panici P
AD  - Department of Gynecology Obstetrics and Urology, Policlinico Umberto I,
      "Sapienza" University of Rome, Rome, Italy.
FAU - Angioli, Roberto
AU  - Angioli R
AD  - Department of Obstetrics and Gynecology, University of Rome "Campus Bio-Medico", 
      Via Alvaro del Portillo, 200, 00128, Rome, Italy.
LA  - eng
PT  - Journal Article
PT  - Validation Studies
DEP - 20170407
PL  - United States
TA  - Med Oncol
JT  - Medical oncology (Northwood, London, England)
JID - 9435512
SB  - IM
MH  - Adult
MH  - Aged
MH  - Datasets as Topic
MH  - Endometrial Neoplasms/*diagnostic imaging/pathology
MH  - Endometrium/*diagnostic imaging/pathology
MH  - Female
MH  - Humans
MH  - Middle Aged
MH  - Predictive Value of Tests
MH  - Reproducibility of Results
MH  - Risk Assessment
MH  - Uterine Diseases/*diagnostic imaging/pathology
OTO - NOTNLM
OT  - *Endometrial cancer
OT  - *Predictive tool
OT  - *REM score
OT  - *Screening
EDAT- 2017/04/09 06:00
MHDA- 2017/04/20 06:00
CRDT- 2017/04/09 06:00
PHST- 2017/02/28 [received]
PHST- 2017/04/04 [accepted]
AID - 10.1007/s12032-017-0945-y [doi]
AID - 10.1007/s12032-017-0945-y [pii]
PST - ppublish
SO  - Med Oncol. 2017 May;34(5):82. doi: 10.1007/s12032-017-0945-y. Epub 2017 Apr 7.

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